×
Register Here to Apply for Jobs or Post Jobs. X

Squad Tech Lead

Remote / Online - Candidates ideally in
Mission, Johnson County, Kansas, 66201, USA
Listing for: Appgr8
Remote/Work from Home position
Listed on 2026-03-11
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

App Great is one of the fastest growing global IT companies, supporting the highest tech organizations in the world with 6 offices: 1 in Sofia, 1 in Skopje, 1 in Bucharest, 1 in Tel Aviv, 1 in Chisinau and 1 in Warsaw.

We are working with top talents and highly experienced management to ensure the world’s leading technology companies meet all the business challenges that the future holds.

We are App Great
! We are a young and ambitious company like no other!

WHY JOIN OUR DREAM TEAM?

The most important part of App Great is the team. From our founders to the last person, we are committed to creating a pleasant environment and a place where everybody feels like they belong.

We invest in them in any way we can, starting from the amazing atmosphere in the office, unique benefits and career growth opportunities.

YOUR MISSION:

We are looking for an experienced and forward-thinking Squad Tech Lead to lead a cross-functional team delivering AI-powered products and solutions. This role combines technical leadership, people management, and product ownership to drive the design, development, and deployment of scalable AI systems that generate measurable business impact. The Squad Lead will be responsible for guiding data scientists, ML engineers, data engineers, and software developers in building production-ready AI solutions aligned with company strategy.

  • Lead and mentor a cross-functional AI squad (Data Scientists, ML Engineers, Software Engineers, Analysts).
  • Define and execute the AI roadmap aligned with business objectives.
  • Translate business challenges into AI-driven solutions.
  • Foster a culture of experimentation, innovation, and continuous improvements.
  • Oversee the design, development, testing, and deployment of AI/ML models.
  • Ensure best practices in model lifecycle management (MLOps, CI/CD, monitoring, retraining).
  • Guide architecture decisions for scalable, secure, and high-performing AI systems.
  • Own sprint planning, backlog prioritization, and delivery tracking.
  • Collaborate closely with Product Owners and stakeholders to define success metrics.
  • Ensure on-time, high-quality delivery of AI initiatives.
  • Monitor model performance and business impact post-deployment.
  • Act as the main point of contact between AI teams and business units.
  • Communicate complex AI concepts clearly to non-technical stakeholders.
  • Present results, risks, and opportunities to leadership.
WHAT YOU WILL BRING TO THE COMPANY:
  • 5+ years of experience in technical leadership or team management roles.
  • Proven experience with AI and LLM development, including hands-on work with Retrieval-Augmented Generation (RAG), prompt orchestration, caching strategies, document processing, and latency optimization.
  • Experience leading technical teams or managing development squads.
  • Strong background in API design
    , data pipelines, and cloud-based integration platforms.
  • Experience designing and implementing AI/ML solutions
    , including model selection, training, and deployment.
  • Solid understanding of security, observability, and data governance best practices.
  • Hands-on experience with modern development frameworks, data platforms, and integration tools (e.g.,
    REST, GraphQL
    , ETL frameworks
    , CI/CD pipelines).
  • Experience working with BI and analytics environments (e.g.,
    Databricks, Tableau
    , etc.).
  • Excellent communication, stakeholder management, and problem-solving skills.
  • Fluent English, both written and verbal.
OUR COMMITMENT TO YOU:
  • Attractive remuneration package.
  • Working style – remote
  • Flexible Working Hours
    :
    We care about results, not when you clock in, depending on the team working schedule.
  • Team Events & Offsites
    :
    Regular team buildings and company events to keep the good vibes going.
  • Learning & Development
    :
    Access to training programs to boost your skills and career.
  • Career Growth Opportunities
    :
    Grow with a fast-scaling, innovation-driven company.
  • Supportive Culture
    :
    Work with a young, motivated, and close-knit team.

We believe great work starts with great people. If this feels like the right place for you, we’d love to connect.

@App Great we appreciate every application we receive. Please note that only candidates selected for the next stage of the recruitment process will be contacted. If your profile matches the role, our Talent Acquisition team will reach out to you directly.

Thank you for your interest in joining us, and we encourage you to stay connected through our Linked In and Career pages for future opportunities and insights from the IT market.

Apply now

First Name

Last Name

Email

Phone number

Linked In Profile URL

Upload Resume

Message

How did you hear about the position? Friend Linked In Facebook Jobs.bg google Outdoor Campaing

By clicking the "Submit" button, you agree and consent to App Great Terms and Conditions I agree that you can keep my data for an extended time period so that it will be easier for you to contact me about job opportunities.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary